Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

(0 reviews)
Share icon

Investigate the objectives and advantages of Google's Big Data and Machine Learning products, including the use of BigQuery for interactive analysis, Cloud SQL, and Dataproc for migrating MySQL and Hadoop applications, and the selection of a variety of data processing tools on Google Cloud.

Key AI Functions:Tensorflow,Bigquery,Information Engineering,Google Cloud,Cloud Computing

Description for Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Features of Course

  • Determine the objectives and advantages of the primary Big Data and Machine Learning products in Google Cloud.
  • Utilize BigQuery to conduct interactive data analysis.
  • Utilize Cloud SQL and Dataproc to transfer existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
  • Select from a variety of data processing products available on Google Cloud.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Google Cloud

    Duration: 1 month at 10 hours a week

    Schedule: Flexible

    Reviews for Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

    Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

    #Convolutional Neural Network #Information Engineering
    icon

    This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.

    #Generative AI #Large Language Models
    icon

    Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

    #Tensorflow #Machine Learning
    icon

    Learn how to use Gemini for Google Workspace to boost productivity and efficiency in Gmail through its generative AI features.

    #AI Assitant #Gemini
    icon

    Learn to build machine learning solutions using Generative AI on AWS, including an understanding of AWS cloud computing and utilizing services like Amazon Bedrock.

    #AWS #Cloud Computing
    icon

    Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

    #Computer Programming #Rust (Programming Language)
    icon

    Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!

    #Recurrent Neural Network #Tensorflow
    icon

    Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.

    #Tensorflow #Bigquery
    icon

    Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.

    #Tensorflow #Convolutional Neural Network
    icon

    Become a machine learning engineer. Enhance your programming abilities with MLOps

    #Microsoft Azure #Big Data
    icon